Yung‐Lung Chang

38 total papers · 703 total citations
32 papers, 563 citations indexed

About

Yung‐Lung Chang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yung‐Lung Chang has authored 32 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Yung‐Lung Chang's work include Cancer, Hypoxia, and Metabolism (5 papers), Histone Deacetylase Inhibitors Research (4 papers) and Autophagy in Disease and Therapy (4 papers). Yung‐Lung Chang is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Histone Deacetylase Inhibitors Research (4 papers) and Autophagy in Disease and Therapy (4 papers). Yung‐Lung Chang collaborates with scholars based in Taiwan and United States. Yung‐Lung Chang's co-authors include Shih‐Ming Huang, Shuting Liu, Yu‐Juei Hsu, Yi-Wen Wang, Wei‐Shiang Lin, Wei‐Ming Wang, Chien‐Sung Tsai, Yen‐Hui Chen, Li‐Chun Huang and Shih-Che Hsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical Journal.

In The Last Decade

Yung‐Lung Chang

31 papers receiving 561 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yung‐Lung Chang	357	102	71	63	53	32	563
Boquan Wu	348 1.0×	105 1.0×	80 1.1×	74 1.2×	62 1.2×	23	526
Lin Sun	276 0.8×	100 1.0×	49 0.7×	67 1.1×	48 0.9×	25	506
Jin Wen	311 0.9×	149 1.5×	65 0.9×	52 0.8×	69 1.3×	32	631
Boda Zhou	322 0.9×	89 0.9×	61 0.9×	41 0.7×	52 1.0×	43	546
Sihui Huang	320 0.9×	100 1.0×	99 1.4×	84 1.3×	45 0.8×	29	594
Huiyan Niu	330 0.9×	93 0.9×	94 1.3×	25 0.4×	48 0.9×	26	501
Zhen Ni	288 0.8×	100 1.0×	70 1.0×	95 1.5×	48 0.9×	27	620
Barbara Kutryb-Zając	272 0.8×	67 0.7×	134 1.9×	74 1.2×	77 1.5×	50	658
Tomokazu Tanaka	260 0.7×	183 1.8×	120 1.7×	71 1.1×	57 1.1×	36	575
Yongbo Zhao	337 0.9×	180 1.8×	50 0.7×	53 0.8×	89 1.7×	30	629

Countries citing papers authored by Yung‐Lung Chang

Since Specialization

Citations

This map shows the geographic impact of Yung‐Lung Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yung‐Lung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Lung Chang more than expected).

Fields of papers citing papers by Yung‐Lung Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Lung Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yung‐Lung Chang. The network helps show where Yung‐Lung Chang may publish in the future.

Co-authorship network of co-authors of Yung‐Lung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Lung Chang. A scholar is included among the top collaborators of Yung‐Lung Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yung‐Lung Chang. Yung‐Lung Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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